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dc.contributor.authorYıldız, Olcay Tanertr_TR
dc.date.accessioned2015-07-14T11:00:06Z
dc.date.available2015-07-14T11:00:06Z
dc.date.issued2015-03-01
dc.identifier.citationYildiz, O. T. (2015). Quadratic programming for class ordering in rule induction. Pattern Recognition Letters, 54, 63-68. doi:10.1016/j.patrec.2014.12.002en_US
dc.identifier.issn0167-8655
dc.identifier.issn1872-7344
dc.identifier.otherWOS:000349556800009
dc.identifier.urihttp://hdl.handle.net/11729/580
dc.identifier.urihttp://dx.doi.org/10.1016/j.patrec.2014.12.002
dc.description.abstractSeparate-and-conquer type rule induction algorithms such as Ripper, solve a K>2 class problem by converting it into a sequence of K - 1 two-class problems. As a usual heuristic, the classes are fed into the algorithm in the order of increasing prior probabilities. Although the heuristic works well in practice, there is much room for improvement. In this paper, we propose a novel approach to improve this heuristic. The approach transforms the ordering search problem into a quadratic optimization problem and uses the solution of the optimization problem to extract the optimal ordering. We compared new Ripper (guided by the ordering found with our approach) with original Ripper (guided by the heuristic ordering) on 27 datasets. Simulation results show that our approach produces rulesets that are significantly better than those produced by the original Ripper.en_US
dc.language.isoenen_US
dc.publisherELSEVIER SCIENCE BVen_US
dc.relation.isversionof10.1016/j.patrec.2014.12.002
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.sourcePattern Recognition Lettersen_US
dc.subjectRule inductionen_US
dc.subjectQuadratic programmingen_US
dc.subjectClass orderingen_US
dc.subjectClassification Treesen_US
dc.titleQuadratic programming for class ordering in rule inductionen_US
dc.typearticleen_US
dc.description.versionPublisher's Versionen_US
dc.description.versionAuthor Post Printen_US
dc.contributor.departmentIşık Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.contributor.departmentIsik University, Faculty of Engineering, Department of Computer Scienceen_US
dc.contributor.authorIDTR19848
dc.identifier.volume54
dc.identifier.startpage63
dc.identifier.endpage68
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US


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